A study of multilevel models with block circular symmetric covariance structures
2011 (English)Licentiate thesis, comprehensive summary (Other academic)
This thesis concerns the study of multilevel models with specific patterned covariance structures and addresses the issues of maximum likelihoodestimation. In particular, circular symmetric hierarchical datastructures are considered.
In the first paper (Paper I), we consider so-called dihedral block symmetrymodels and extend them to models which covariance structures reflects both circularity and exchangeability present in the data. The main contribution of Paper I are two derived patterns of the covariancematrices which characterizes models under consideration. The relationship between these two patterned covariance matrices was investigatedand it has been verified they are similar matrices. New expressions for the eigenvalues of block circular symmetric matrices are obtained which take into account the block structure. Paper II deals with estimation ofbalanced multilevel models with block circular symmetric covariance matrices. The spectral properties of such patterned covariance matrices are established. Maximum likelihood estimation is considered through the spectral decomposition of the patterned covariance matrix. The main results of Paper II concern the spectrum of the covariance matrix inthe model of interest and the existence of explicit maximum likelihood estimators for the covariance parameters.
Place, publisher, year, edition, pages
Stockholm: Department of Statistics, Stockholm University , 2011. , 22 p.
Block circular symmetry, Covariance matrix, Explicit solution, Maximum likelihood estimator, Multilevel model, Spectrum
Probability Theory and Statistics
Research subject Statistics
IdentifiersURN: urn:nbn:se:su:diva-81538ISBN: 978-91-633-9851-3OAI: oai:DiVA.org:su-81538DiVA: diva2:578475
von Rosen, Tatjanavon Rosen, Dietrich
List of papers